An edition of Lessons from the Masters (2013)

Lessons from the Masters

Current Concepts in Astronomical Image Processing

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April 24, 2020 | History
An edition of Lessons from the Masters (2013)

Lessons from the Masters

Current Concepts in Astronomical Image Processing

There are currently thousands of amateur astronomers around the world engaged in astrophotography at increasingly sophisticated levels. Their ranks far outnumber professional astronomers doing the same and their contributions both technically and artistically are the dominant drivers of progress in the field today. This book is a unique collaboration of individuals, all world-renowned in their particular area, and covers in detail each of the major sub-disciplines of astrophotography. This approach offers the reader the greatest opportunity to learn the most current information and the latest techniques directly from the foremost innovators in the field today. The book as a whole covers all types of astronomical image processing, including processing of eclipses and solar phenomena, extracting detail from deep-sky, planetary, and widefield images, and offers solutions to some of the most challenging and vexing problems in astronomical image processing. Recognized chapter authors include deep sky experts such as JAY GABANY, TONY HALLAS, ROBERT GENDLER, KEN CRAWFORD, high-resolution planetary expert DAMIAN PEACH, and the founder of The World at Night BABAK A. TAFRESHI, among other luminaries in the field of astronomical image processing. A large number of quality illustrations help explain the critical concepts and complex techniques the modern astrophotographer will need to achieve the highest level of quality in their astronomical images.--

Publish Date
Publisher
Springer
Pages
400

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Edition Notes

Source title: Lessons from the Masters: Current Concepts in Astronomical Image Processing

The Physical Object

Format
paperback
Number of pages
400

Edition Identifiers

Open Library
OL27953173M
ISBN 10
1461478359
ISBN 13
9781461478355

Work Identifiers

Work ID
OL20672237W

Source records

amazon.com record

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